TSAN-brain-age-estimation
importedsoftware/tsan-brain-age-estimation
TSAN: Two-Stage-Age-Net, for brain age estimation from T1-weighted MRI data.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- Milan-BUAA
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- brain-age · brain-age-prediction · deep-learning · mri · pytorch
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- 3dMRISegmentationmri · pytorch
Code for NeuroImage: Clinical paper "Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network."
- pFLSynthmri · pytorch
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis (pFLSynth)
- torchkbnufftmri · pytorch
A high-level, easy-to-deploy non-uniform Fast Fourier Transform in PyTorch.
- TRUSGlandSegmentationmri · pytorch
Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study
- MRISkullStrippingmri · pytorch
Developing a UNet3D model for accurate MRI skull stripping using the Calgary Campinas 359 dataset, enhancing neuroimaging preprocessing workflows.
- VT-UNetmri · pytorch
[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
- api.github.com/repos/Milan-BUAA/TSAN-brain-age-estimationretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-04-11, 72 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/48.json→ .entries["tsan-brain-age-estimation"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.